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Proceedings of the Sixth International Workshop on Machine Learning
We view automation of knowledge base refinement as improvements to a domain theory. Techniques are described that we have developed to handle three types of domain theory pathologies: incorrectness, inconsistency, and incompleteness. The major sources of power of our learning method are a confirmation theory that connects the domain theory to underlying domain theories, the use of an explicit representation of the strategy knowledge for a generic problem class (e.g., heuristic classification)doi:10.1016/b978-1-55860-036-2.50086-2 fatcat:4dfgnxlwqnbclga6m5kbw5u3u4